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XGGNet
/
ckpt

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use XGGNet/ckpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use XGGNet/ckpt with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("XGGNet/ckpt", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of sks dog"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
ckpt
15.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
XGGNet's picture
XGGNet
End of training
ea89aab over 2 years ago
  • checkpoint-500
    End of training over 2 years ago
  • feature_extractor
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  • logs
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  • safety_checker
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    538 Bytes
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  • model_index.json
    679 Bytes
    End of training over 2 years ago